Probability Theory for Quants: Desk-First
₹499
Use coupon code PROBABILITY10 at checkout for 10% off.
About this resource
Probability Theory for Quants is a desk-first set of notes that teaches probability the way quants actually use it: as a framework for risk, tails, information flow, and pricing measures—not as a “memorize-theorems” textbook. What you’ll cover (full roadmap) You’ll build a complete quant-probability toolkit across: Probability as risk geometry (scenario trees, σ-algebras, measurability) Expectation & risk measures (VaR/CVaR/convex risk) Distributions as market regimes (fat tails, mixtures, jump risk) Conditioning & filtration (information flow, avoiding look-ahead bias) Martingales & stopping (fair games, pricing intuition) Markov processes, Brownian motion, diffusions, jumps Change of measure & Girsanov, copulas & dependence Extreme Value Theory, estimation & calibration Advanced extensions: Malliavin calculus (Greeks), rough paths, optimal transport Probability Interview Mastery (pressure questions + fast solution patterns) How these notes are different You’re explicitly guided to: Visualize uncertainty and tails Translate math into P&L language Use formulas as confirmation, not the starting point Bonuses included Appendix A: Quant Probability Cheat Sheet Distribution facts, conditioning identities, martingale/Markov quick tests, change-of-measure checklist, and an EVT tail workflow.
Appendix B: Exam Pack — 80 targeted problems (with concise solutions) Designed for 5–7 minute interview/exam conditions. Interview shortcuts library (symmetry, indicators, conditioning-first) to speed up answers under pressure. Who this is for Aspiring quant researchers / strat / risk quants Candidates prepping for quant interviews (especially probability-heavy rounds) Practitioners wanting a compact refresher that connects probability to risk systems and pricing logic Coupon code Use PROBABILITY10 for 10% off.
Regular disclaimer No affiliation / endorsement with any firm mentioned; names are used only for educational context. Trademarks belong to their respective owners; no endorsement implied. None Not investment advice: educational/informational only; not a recommendation or solicitation.
No warranty on accuracy/completeness; use at your own risk.
What you get
- Instant digital delivery by email after purchase
- Written by a practising quantitative risk modeller
- Desk-focused material, not textbook theory
Delivery & refunds
Access is delivered by email immediately after payment. See our terms and privacy policy.
Frequently asked questions
How is Probability Theory for Quants: Desk-First delivered?
Access is delivered digitally by email after payment is verified. Keep the purchase email so you can find the delivery link later.
Who is Probability Theory for Quants: Desk-First designed for?
It is designed for quantitative-finance candidates and practitioners who want desk-focused explanations, practical diagnostics and interview-ready reasoning.
Where can I review the price and purchase details?
Use the product details link on this page to review the current price, any available offer and the secure checkout information before buying.
Related resources
- Fast Greeks & Initial Margin for Quants — AAD, SIMM & MVA Production Lab
- Market Microstructure & Market Making for Quants: 100-Page Playbook + Python Lab
- The Vol Surface Construction Playbook — SVI, SSVI, Static Arbitrage & Dupire Local Volatility
- Quant Researcher Interview Playbook: Time Series, Signals & Statistical Research
- 50 FX Derivatives Problems for Quant Interviews